AI is generally defined as machine learning that can perform tasks that are characteristic of human intelligence, such as planning, understanding language, recognizing objects, and problem solving. Diagnostic imaging equipment such as CT, MR, and X-ray that are powered by AI and automation can transform the accuracy and speed of diagnosis for even the most complex medical conditions, helping clinicians make the best clinical and operational decisions. By giving the right information to the right person at the right time, AI and analytics provide the foundation for precision healthcare.
Global AI-powered X Ray Imaging includes General Electric, Hologic, and FUJIFILM Holdings, etc. Global top three companies hold a share over 60%. North America is the largest market, with a share about 35%, followed by Europe and Asia-Pacific with the share about 33% and 26%.
Market Analysis and Insights: Global AI-powered X Ray Imaging Market
The global AI-powered X Ray Imaging market size is projected to reach US$ 996.7 million by 2027, from US$ 224.4 million in 2020, at a CAGR of 21.2% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global AI-powered X Ray Imaging market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global AI-powered X Ray Imaging market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global AI-powered X Ray Imaging market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global AI-powered X Ray Imaging market.
Global AI-powered X Ray Imaging Scope and Market Size
AI-powered X Ray Imaging market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI-powered X Ray Imaging market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Hardware
Software and Services
Segment by Application
Hospitals
Diagnostic Centers
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
By Company
General Electric
Hologic
FUJIFILM Holdings
Siemens Healthineers AG
Nuance Communications
Lunit
Zebra Medical Vision
Arterys Inc
Qure.ai
Agfa-Gevaert Group
Riverain Technologies
Oxipit
DeepTek Medical Imaging Private Limited.
ICAD Inc
Global AI-powered X Ray Imaging includes General Electric, Hologic, and FUJIFILM Holdings, etc. Global top three companies hold a share over 60%. North America is the largest market, with a share about 35%, followed by Europe and Asia-Pacific with the share about 33% and 26%.
Market Analysis and Insights: Global AI-powered X Ray Imaging Market
The global AI-powered X Ray Imaging market size is projected to reach US$ 996.7 million by 2027, from US$ 224.4 million in 2020, at a CAGR of 21.2% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global AI-powered X Ray Imaging market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global AI-powered X Ray Imaging market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global AI-powered X Ray Imaging market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global AI-powered X Ray Imaging market.
Global AI-powered X Ray Imaging Scope and Market Size
AI-powered X Ray Imaging market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global AI-powered X Ray Imaging market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.
Segment by Type
Hardware
Software and Services
Segment by Application
Hospitals
Diagnostic Centers
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
By Company
General Electric
Hologic
FUJIFILM Holdings
Siemens Healthineers AG
Nuance Communications
Lunit
Zebra Medical Vision
Arterys Inc
Qure.ai
Agfa-Gevaert Group
Riverain Technologies
Oxipit
DeepTek Medical Imaging Private Limited.
ICAD Inc
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
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